AWS Machine Learning Blog

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

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Heartbeat

FEBRUARY 8, 2024

This evolution paved the way for the development of conversational AI. These models are trained on extensive data and have been the driving force behind conversational tools like BARD and ChatGPT. These building blocks, similar to functions and object classes, are essential components for creating generative AI programs.

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AWS Machine Learning Blog

JUNE 8, 2023

However, businesses can meet this challenge while providing personalized and efficient customer service with the advancements in generative artificial intelligence (generative AI) powered by large language models (LLMs). Generative AI chatbots have gained notoriety for their ability to imitate human intellect.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

To address this challenge, the contact center team at DoorDash wanted to harness the power of generative AI to deploy a solution quickly, and at scale, while maintaining their high standards for issue resolution and customer satisfaction. You can replace this metadata search query with one appropriate for your use cases.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

Organizations generate vast amounts of data that is proprietary to them, and it’s critical to get insights out of the data for better business outcomes. Generative AI and foundation models (FMs) play an important role in creating applications using an organization’s data that improve customer experiences and employee productivity.

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Pragnakalp

FEBRUARY 1, 2024

Exploration of Dialogflow CX The weblog will provide an in-depth understanding of Dialogflow CX, highlighting its pivotal role in crafting intelligent conversational agents. Readers will gain insights into its features, functionalities, and its unique position in the realm of conversational AI platforms.

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AWS Machine Learning Blog

DECEMBER 6, 2023

Despite the seemingly unstoppable adoption of LLMs across industries, they are one component of a broader technology ecosystem that is powering the new AI wave. Many conversational AI use cases require LLMs like Llama 2, Flan T5, and Bloom to respond to user queries. These models rely on parametric knowledge to answer questions.

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Chatbots Life

APRIL 1, 2024

Exploration of Dialogflow CX The weblog will provide an in-depth understanding of Dialogflow CX, highlighting its pivotal role in crafting intelligent conversational agents. Readers will gain insights into its features, functionalities, and its unique position in the realm of conversational AI platforms. Click on ‘Create’.

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DataRobot Blog

MARCH 16, 2023

This integration, which leverages the ChatGPT model in Azure OpenAI, provides a conversational AI experience that will allow you to interact with and interpret model results and predictions directly. This saves us the time it would otherwise take to memorize metadata and APIs.

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AWS Machine Learning Blog

SEPTEMBER 15, 2023

Often, these LLMs require some metadata about available tools (descriptions, yaml, or JSON schema for their input parameters) in order to output tool invocations. About the Author John Hwang is a Generative AI Architect at AWS with special focus on Large Language Model (LLM) applications, vector databases, and generative AI product strategy.

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ODSC - Open Data Science

JULY 12, 2024

Will it continue to be LLMs and generative AI or will it be something completely new? AI in Robotics Discover the forefront of AI and robotics, from foundation models to real-world applications.

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Viso.ai

NOVEMBER 19, 2023

Such tasks include image recognition , video analytics , generative AI, voice recognition, text recognition, and NLP. The strategic importance of AI technology is growing exponentially across industries. Many businesses are exploring and investing in AI solutions to stay competitive and enhance their business processes.

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The MLOps Blog

OCTOBER 3, 2023

There’s no component that stores metadata about this feature store? Mikiko Bazeley: In the case of the literal feature store, all it does is store features and metadata. For example, Mailchimp was the first place I had seen where they had a strong use case for business value for generative AI. Mikiko Bazeley: 100%.

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AWS Machine Learning Blog

JULY 16, 2024

NVIDIA NeMo Framework NVIDIA NeMo is an end-to-end cloud-centered framework for training and deploying generative AI models with billions and trillions of parameters at scale. NVIDIA NeMo simplifies generative AI model development, making it more cost-effective and efficient for enterprises. 24xlarge instances.

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AWS Machine Learning Blog

OCTOBER 21, 2024

Amazon Bedrock Agents help you accelerate generative AI application development by orchestrating multistep tasks. If you’re starting with no existing schema, the simplest way to provide tool metadata for your agent is to use simple JSON function definitions. Sonnet or Anthropic’s Claude 3 Opus.

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AWS Machine Learning Blog

NOVEMBER 6, 2024

In this post, we share how Hearst , one of the nation’s largest global, diversified information, services, and media companies, overcame these challenges by creating a self-service generative AI conversational assistant for business units seeking guidance from their CCoE.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely take actions based on data and information in your enterprise systems. After signing in, you can start chatting with your generative AI assistant.

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Unite.AI

MAY 22, 2024

The rapid advancement of artificial intelligence (AI) has brought about significant benefits and transformative changes across various industries. Deepfakes , a product of generative AI , are becoming increasingly sophisticated and pose a substantial threat to the integrity of voice-based security systems.

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